Cross-sectional analysis to explore the awareness, attitudes and actions of UK adults at high risk of severe illness from COVID-19

BMJ Open

Volumn 10, Issue 12, 2020, Pages

  Flint, Stuart W ^a,b   Brown, Adrian ^c   Tahrani, Abd A ^d,e,f   Piotrkowicz, Alicja ^a,b   Joseph, Anny Claude ^g  

^a UNIVERSITY OF LEEDS   (United Kingdom)

^b Scaled Insights   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^e UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST   (United Kingdom)

^f Birmingham Women s Hospital NHS Foundation Trust   (United Kingdom)

^g UNITED STATES MILITARY ACADEMY   (United States)

Author keywords

artificial Intelligence; attitudes; behaviours; COVID 19; high risk; lockdown

Indexed keywords

ADULT; ADVERTISING; ALCOHOL CONSUMPTION; ARTICLE; ARTIFICIAL INTELLIGENCE; ATTITUDE; AWARENESS; CORONAVIRUS DISEASE 2019; CROSS-SECTIONAL STUDY; DEPRESSION; DIET; FEMALE; GOVERNMENT; HEALTH CARE ACCESS; HEALTH CARE UTILIZATION; HIGH RISK POPULATION; HUMAN; LIFESTYLE; MAJOR CLINICAL STUDY; MALE; MENTAL HEALTH; NEUROSIS; ORGANIZATION; PHYSICAL ACTIVITY; QUESTIONNAIRE; RISK ASSESSMENT; SLEEP QUALITY; SMOKING; SOCIAL MEDIA; SOCIAL WELFARE; UNITED KINGDOM; WELLBEING; ATTITUDE TO HEALTH; CHRONIC DISEASE; COMMUNICABLE DISEASE CONTROL; HEALTH CARE DELIVERY; PREVENTION AND CONTROL; PROCEDURES; PSYCHOLOGY; RISK FACTOR; SOCIAL ISOLATION;

ADULT; ARTIFICIAL INTELLIGENCE; ATTITUDE TO HEALTH; CHRONIC DISEASE; COMMUNICABLE DISEASE CONTROL; COVID-19; FEMALE; HEALTH SERVICES ACCESSIBILITY; HUMANS; MALE; MENTAL HEALTH; RISK ASSESSMENT; RISK FACTORS; SARS-COV-2; SOCIAL ISOLATION; SURVEYS AND QUESTIONNAIRES; UNITED KINGDOM;

EID: 85098645545     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2020-045309     Document Type: Article

References (17)

1. World Health Organization. WHO Director-General's opening remarks at the media briefing on COVID-19-11 March 2020, 2020. Available: https://www.who.int/dg/speeches/detail/who-director-general-sopening-remarks-at-the-media-briefing-on-covid-19-11-march-2020 [Accessed August 25 2020].
2. Office of National Statistics. Coronavirus and shielding of clinically extremely vulnerable people in England: 29 may to 3 June 2020, 2020. Available: https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronavirusandshieldingofclinicallyextremelyvulnerablepeopleinengland/28mayto3june2020 [Accessed 06 September 2020].
3. Luchetti M, Lee JH, Aschwanden D, et al. The trajectory of loneliness in response to COVID-19. Am Psychol 2020;75:897-908.
4. Tull MT, Edmonds KA, Scamaldo KM, et al. Psychological outcomes associated with Stay-at-Home orders and the perceived impact of COVID-19 on daily life. Psychiatry Res 2020;289:113098.
5. Wolf MS, Serper M, Opsasnick L, et al. Awareness, attitudes, and actions related to COVID-19 among adults with chronic conditions at the onset of the U.S. outbreak: a cross-sectional survey. Ann Intern Med 2020;173:100-9.
6. Public Health England. Guidance on social distancing for everyone in the UK, 2020. Available: https://www.gov.uk/government/publications/covid-19-guidance-on-social-distancing-and-forvulnerable-people/guidance-on-social-distancing-for-everyonein-the-uk-and-protecting-older-people-and-vulnerable-adults [Accessed 26 August 2020].
7. Tennant R, Hiller L, Fishwick R, et al. The Warwick-Edinburgh mental well-being scale (WEMWBS): development and UK validation. Health Qual Life Outcomes 2007;5:63.
8. Kroenke K, Spitzer RL. The PHQ-9: a new depression diagnostic and severity measure. Psychiatr Ann 2002;32:509-15.
9. Wickham H, Averick M, Bryan J, et al. Welcome to the Tidyverse. J Open Source Softw 2019;4:1686.
10. Yee TW. Complements to Vector Generalized Linear and Additive Models. R package version 1.1-3.
11. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, 2019. Available: https://www.R-project.org/
12. Gilbert CH, Hutto E. Vader: A parsimonious rule-based model for sentiment analysis of social media text. In: Eighth International Conference on Weblogs and social media (ICWSM-14)., 2014: 81, 82. http://comp.social.gatech.edu/papers/icwsm14.vader.hutto.pdf
13. Hamer M, Kivimäki M, Gale CR, et al. Lifestyle risk factors, inflammatory mechanisms, and COVID-19 hospitalization: a community-based cohort study of 387,109 adults in UK. Brain, Behavior, and Immunity, 2020.
14. Obesity Action Scotland. Lifestyle of Scotland's People Since the Coronavirus Outbreak, 2020. Available: https://www.obesityactionscotland.org/publications/reports/lifestyle-of-scotland-s-peoplesince-the-coronavirus-outbreak-polling-results/ [Accessed 13 September 2020].
15. NHS Digital. Health survey for England 2016: well-being and mental health (version 2, published 27th November 2019), 2017. Available: https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/health-survey-for-england-2016 [Accessed 13 September 2020].
16. Fancourt D, Bu F, Wan Mak H. COVID-19 social study, results, 2020. Available: https://www.covidsocialstudy.org/results [Accessed 13 September, 2020].
17. Luppino FS, de Wit LM, Bouvy PF, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry 2010;67:220-9.